Dijkstra의 mini 언어를 Pascal로 변환할 경우 병렬 치환문의 처리

이수현(Lee Su-Hyun),최광무(Choe Kwang-Moo) 한국정보과학회 1988 한국정보과학회 학술발표논문집 Vol.15 No.1

Mini 언어는 Dijkstra가 설계한 언어로서 병렬 치환문(concurrent assignment), 비결정적 수행(guarded command)등의 특징을 가진 block-structured 언어이다. 본 논문에서는 mini 언어로 작성된 프로그램을 Pascal 프로그램으로 변환시켜 주는 변환기를 설계하였고 변환된 프로그램을 수행시켜 보았다. 특히 병렬 치환문을 일련의 순차 치환문으로 바꾸는 과정에서 임시 변수를 줄이는 문제에 대하여 고찰하여 보았다.

지역사회 노인에서 불안과 뇌졸중 경고증상의 관계

이수현(Su Hyun Lee),고상현(Sang Hyun Koh),이윤환(Yunhwan Lee),백종환(Joung Hwan Back),정영기(Young Ki Chung),김현정(Hyun Chung Kim),홍창형(Chang Hyung Hong) 대한노인정신의학회 2011 노인정신의학 Vol.15 No.1

Objectives:We aimed to investigate the relationship between anxiety and stroke warning signs in the elderly. Methods:Data obtained from 1,078 subjects (256 men and 822 women) aged above 65 years was analyzed from Suwon Project, which was a cohort comprising of nonrandom convenience samples. All the subjects completed the study questionnaire including their demographic characteristics, history of current and past illnesses, drug history, Korean version-Mini Mental State Examination (K-MMSE), SGDS-K (Korean version of the Geriatric Depression Scale-Short Form), BAI (Beck Anxiety Inventory). Stroke warning signs were defined as 5 stroke warning signs consistent with the American heart association public health message Results:There was significant relationship of anxiety and the number of stroke warning signs after adjusting age, sex, educational level and depression (β=2.145, p〈0.0001). On analysis of covariance, the interaction of the number of experienced stroke warning signs with sex on anxiety was observed after adjusting for the age, educational level, K-MMSE, and SGDS-K (p=0.011). Conclusion:These results suggest that there was significant relationship of anxiety and stroke the elderly.

특이값 분해법 기반 하중법을 이용한 평면 트러스의 구조 해석

이수현(Lee, Su-Hyun),이재홍(Lee, Jae-Hong) 대한건축학회 2011 大韓建築學會論文集 : 構造系 Vol.27 No.10

This paper presented structural analysis of Truss system by using Force Method based on singular value decomposition. Truss system was applied to space truss and bridges due to the fact that it was economy, lightweight and easy construction than general structures. This system had to find initial force however this process was too complicated to get exact results sometimes. This research proposed a new method that it was able to perform structural analysis of truss system. The proposed method was illustrated through numerical examples.

데이터마이닝 기법을 활용한 비외감기업의 부실화 유형 분석

이수현(Su Hyun Lee),박정민(Jung Min Park),이형용(Hyoung Yong Lee) 한국지능정보시스템학회 2015 지능정보연구 Vol.21 No.4

본 연구에서는 데이터마이닝 기법의 일종인 자기조직화지도(Self-Organizing Map, SOM)를 이용하여 비외감기업의 부실화 유형을 구분하고자 한다. 자기조직화지도는 인공 신경망을 기초로 자율학습을 통해 입력된 값을 유사한 군집끼리 묶어내는 방법으로, 기존의 통계적 군집 분류 방법보다 성능이 뛰어나고, 고차원의 입력데이터를 저차원으로 시각화할 수 있다는 장점 때문에 다양한 분야에서 각광받고 있다. 본 연구에서는 기존 연구의 주요 분석대상이었던 외감기업에 비해 부실화 빈도는 높지만 데이터 수집의 어려움으로 인해 분석대상에서 다소 제외되었던 비외감기업의 부실화 유형에 대해 알아보고, 유형별 구체적인 사례도 소개하고자 한다. 재무자료수집이 가능한 100개의 비외감 부실기업에 대해 분석한 결과, 비외감기업의 부실화 유형은 다섯 가지로 구분되었다. 유형 1은 전체 집단의 약 12%를 차지하며, 수익성, 성장성 등 재무지표가 다른 유형에 비해 열등하였다. 유형 2는 전체 집단의 약 14%로, 유형 1보다는 덜 심각하지만 재무지표가 대체로 열등하였다. 유형 3은 성장성 지표가 열등한 그룹으로 기업간 경쟁이 극심한 가운데 지속적으로 성장하지 못하고 부실화된 경우로 약 30%의 기업이 포함되었다. 유형 4는 성장성은 탁월하나 부채경영 등 과감한 경영으로 인해 유동성 부족이나 현금부족 등의 이유로 부실화된 그룹으로 약 25%의 기업이 포함되었다. 유형 5는 거의 모든 재무지표가 우수한 건전기업으로, 단기적인 경영전략의 실수 또는 중소기업의 특성상 경영자의 개인적 사정으로 부실화 되었을 가능성이 큰 그룹으로 약 18%의 기업이 포함되었다. 본 연구 결과는 부실화 유형을 구분하는데 기존의 통계적 방법이 아닌 자기조직화지도를 이용하였다는 점에서 학문적 의의가 있고, 비외감기업의 재무지표만으로도 1차적인 부실화 징후를 발견할 수 있다는 점에서 실무적 의의가 있다고 할 수 있다. There are only a handful number of research conducted on pattern analysis of corporate distress as compared with research for bankruptcy prediction. The few that exists mainly focus on audited firms because financial data collection is easier for these firms. But in reality, corporate financial distress is a far more common and critical phenomenon for non-audited firms which are mainly comprised of small and medium sized firms. The purpose of this paper is to classify non-audited firms under distress according to their financial ratio using data mining; Self-Organizing Map (SOM). SOM is a type of artificial neural network that is trained using unsupervised learning to produce a lower dimensional discretized representation of the input space of the training samples, called a map. SOM is different from other artificial neural networks as it applies competitive learning as opposed to error-correction learning such as backpropagation with gradient descent, and in the sense that it uses a neighborhood function to preserve the topological properties of the input space. It is one of the popular and successful clustering algorithm. In this study, we classify types of financial distress firms, specially, non-audited firms. In the empirical test, we collect 10 financial ratios of 100 non-audited firms under distress in 2004 for the previous two years (2002 and 2003). Using these financial ratios and the SOM algorithm, five distinct patterns were distinguished. In pattern 1, financial distress was very serious in almost all financial ratios. 12% of the firms are included in these patterns. In pattern 2, financial distress was weak in almost financial ratios. 14% of the firms are included in pattern 2. In pattern 3, growth ratio was the worst among all patterns. It is speculated that the firms of this pattern may be under distress due to severe competition in their industries. Approximately 30% of the firms fell into this group. In pattern 4, the growth ratio was higher than any other pattern but the cash ratio and profitability ratio were not at the level of the growth ratio. It is concluded that the firms of this pattern were under distress in pursuit of expanding their business. About 25% of the firms were in this pattern. Last, pattern 5 encompassed very solvent firms. Perhaps firms of this pattern were distressed due to a bad short-term strategic decision or due to problems with the enterpriser of the firms. Approximately 18% of the firms were under this pattern. This study has the academic and empirical contribution. In the perspectives of the academic contribution, non-audited companies that tend to be easily bankrupt and have the unstructured or easily manipulated financial data are classified by the data mining technology (Self-Organizing Map) rather than big sized audited firms that have the well prepared and reliable financial data. In the perspectives of the empirical one, even though the financial data of the non-audited firms are conducted to analyze, it is useful for find out the first order symptom of financial distress, which makes us to forecast the prediction of bankruptcy of the firms and to manage the early warning and alert signal. These are the academic and empirical contribution of this study. The limitation of this research is to analyze only 100 corporates due to the difficulty of collecting the financial data of the non-audited firms, which make us to be hard to proceed to the analysis by the category or size difference. Also, non-financial qualitative data is crucial for the analysis of bankruptcy. Thus, the non-financial qualitative factor is taken into account for the next study. This study sheds some light on the non-audited small and medium sized firms’ distress prediction in the future.

연구논문 : 의료오류 공개에 대한 대학생들의 태도 조사

이수현 ( Su Hyun Lee ),김한아 ( Han A Kim ),한흥식 ( Heung Sik Han ),김성수 ( Sung Soo Kim ) 한국의료윤리학회 2011 한국의료윤리학회지 Vol.14 No.3

Object: The purpose of this study was to identify the attitudes of patients regarding medical error. Methods: The questionnaires were administrated to 145 college students in Busan, one hundred twenty three usable 123 questionnaires were analyzed. The questionnaires consist of 4 major concepts; 1) knowledge, 2) attitudes toward disclosure of medical error, 3) expectations for doctors` behaviors, 4) barriers to the disclosure of the medical error. Results: Approximately 92% of respondents supported the immediate disclosure of medical errors, and 62.6% supported full disclosure including near misses. Approximately 57% believed that it would be most effective if doctors themselves communicated errors to patients, while almost 93% said that it was a doctor`s obligation to do so. Regarding reasons for disclosure, 44.7% said that it would reduce doctors` feelings of guilt, while 45.5% said that it would also increase patient trust for doctors. Respondents also thought that the barriers to the full disclosure of medical errors were (1) damaged reputations (30.9%), (2) worries about medical lawsuits (22.8%), and (3) professional discipline (22.0%). Conclusion: Most of the participants in this survey support the immediate disclosure of medical errors regardless of the seriousness of the error. Furthermore the participants regarded disclosure of medical error as doctors` obligation. In order to meet the patients` high expectation regarding the medical error, this might be a good time for us to find a way to close the gap between patients` expectation and doctors` current practice.

A Baseball Batter Evaluation Model using Genetic Algorithm

Su-Hyun Lee(이수현),Yerin Jung(정예린),Hyung-Woo Moon(문형우),Yong-Tae Woo(우용태) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.1

In this paper, we propose a new batter evaluation model that reflects the skill of the opponent pitcher in Korean professional baseball. The model consists of evaluation factors such as Run Value, Contribution Score and Ball Consumption considering the pitcher grade. These evaluation factors are calculated as different data. In order to include the evaluation factors having different characteristics into one model, each evaluation factor is weighted and added. The genetic algorithms were used to calculate the weights, and the data were based on the 2016 records of Korea Professional Baseball and the salary data of the players of 2017. As a result of calculation of the weight, the weight of the Run Value was high and the weight of the Contribution Score was very low. This means that when calculating the annual salary, it reflects much of the expected score according to the batting result of the batter. On the other hand, the contribution score indicating the degree to which the batting result contributed to the victory of the team according to the state of the economy is not reflected in the salary or point system.

블록체인을 이용한 평가관리시스템

이수현(Su-Hyun Lee) 한국컴퓨터정보학회 2021 韓國컴퓨터情報學會論文誌 Vol.26 No.2

제4차산업혁명의 핵심기술 중의 하나로 인식되고 있는 블록체인은 인터넷을 기반으로 중앙집중적인 제어가 없이도 작동되는 자율적인 분산 정보관리시스템이다. 블록체인은 정보의 무결성, 신뢰성 등을 특징으로 하며, 이러한 특징을 필요로 하는 곳에는 블록체인을 활용할 수 있다. 대표적인 응용으로는 금융, 거래, 평가관리 등을 들 수 있다. 본 논문에서는 블록체인을 기반으로 사용자들이 자유롭게 평가개체(instance)를 생성하고 관리할 수 있는 평가관리시스템을 설계하였다. 평가관리자는 자신의 목적에 맞게 평가개체를 하나 생성하고, 평가항목과 평가자들을 배정할 수 있다. 평가자들이 평가항목에 대해서 평가를 마치면 평가관리자는 해당 평가개체에 대해서 평가 결과를 집계를 할 수 있다. 여러 용도로 평가를 시행하고 싶지만 평가시스템을 갖추지 못한 경우에 본 시스템을 이용하면 이를 비교적 간단히 평가시스템을 구현할 수 있다. 또한 블록체인의 특성으로 인하여 평가자들은 자신이 이미 기록한 평가 값을 수정하지 못하며, 시스템 관리자 또는 평가 관리자 역시 평가 값을 수정하지 못한다. 이런 이유로 평가의 신뢰성은 높아진다고 볼 수 있다. Blockchain, recognized as one of the core technologies of the 4th industrial revolution, is an Internet-based distributed data management system which does not require centralized control. Blockchain is characterized by the integrity and reliability of information, and blockchains can be used where such characteristics are required. Typical applications of blockchain include finance, transaction, and evaluation management. In this paper, we designed a blockchain-based evaluation management system that allows users to freely create and manage evaluation instances. Evaluation managers can create an evaluation instance according to their purpose and allocate evaluation items and evaluators. When the evaluators finish evaluating the evaluation items, the evaluation manager can aggregate the evaluation results for the instance. Someone, who want to perform evaluation for various purposes but do not have an evaluation system, can implement the evaluation system relatively simply by using this system. In addition, due to the characteristic of the blockchain, evaluators cannot modify the evaluation scores they have already recorded, and neither the system administrator nor the evaluation administrator can modify the evaluation scores. For this reason, the reliability of the evaluation increases.

성문상부에 발생한 원발성소세포암 1예

이수현(Su-Hyun Lee),류시영(Si-Young You),최현주(Hyun-Joo Choi),조정해(Jung-Hae Cho),김성환(Sung-Whan Kim),이종환(Jong-Hwan Lee),김영운(Young-Woon Kim),김훈교(Hoon-Kyo Kim) 대한두경부종양학회 2012 대한두경부 종양학회지 Vol.28 No.1

Small cell carcinoma mainly occurs in the lung. Approximately 2.5-5% of small cell carcinomas are prima-ry extrapulmonary which are commonly found in the esophagus, GI tract, skin, uterus, and urinary tract.Small cell carcinoma of the head and neck is extremely rare and its prognosis is poor.We report a case of supraglottic small cell carcinoma with cervical lymph node and rib metastasis in a 75-year-old man. The patient was treat-ed with sequential combination of chemotherapy and radiotherapy, but the cancer has progressed.We conclud-ed that we have to find an effective therapy for laryngeal small cell carcinoma.

일반논문 : 창의력 계발을 위한 전문대학의 교양문학 교육

이수현 ( Su Hyun Lee ) 한국문학교육학회 2014 문학교육학 Vol.44 No.-

이 글은 교양으로서 대학의 문학교육이 학습자의 창의력 계발을 위해 어떤 방향으로 나갈 수 있는지 그 가능성을 진단하는 글이다. 특히 전문대학에서 교양문학 교육이 시행될 수 있는 구체적인 방안을 제안하였다. 문학교육에서 창의성은 학습자의 미적 감수성, 문학적 상상력과 연관된다. 인간과 세계에 대한 총체적 체험을 다루는 문학은 인식의 확장과 상상력의 증대를 가져온다. 또한 오늘날 문학은 다양한 영역에서 콘텐츠를 만들어내는 문화현상을 불러오고 있다. 이런 점에서 문학의 문화현상을 문학교육에 활용하는 것은 ‘문학의 수용과 재창작’이라는 측면에서 볼 때 창의력 계발에 효과적이라 할 수 있다. 전문대학의 교양문학에서 활용할 수 있는 구체적인 수업 모형을 제시한 이 글은 ‘문학의 재창작’ 과정에서 이야기의 기획 단계까지를 논의하였다. 따라서 학습자의 창의활동 결과의 총체적 완성을 위해서는 향후 전공분야와의 통합적 교육 방안을 모색할 필요가 있다. 또한 학습자의 수업 만족도에 대한 조사도 시행되어야 한다. 학습자 중심의 맞춤형 교육이야말로 문학교육의 성공적인 운영을 가능케 하기 때문이다. This paper aims to demonstrate the way of liberal literature lesson for development of creativity. Particularly I suggest concrete plan practicing on liberal literature lesson in 2-3 years college. The creativity in literature education is related to learner’s aesthetic sensitivity and literary imagination. Literature, dealing with total experience about humans and the world, can enlarge our understanding and imagination. In addition, literature produces culture contents of various fields of art today-movies, TV dramas, musicals, plays, cartoons, animations and so on. We can call it ‘Culture phenomenon of literature``. Utilizing culture phenomenon of literature in liberal literature lesson is efficient methods of teaching for development of creativity in that student’s acceptance and recreation in literature. To this end, I take adaptation in Park Min-Gyu’s novels for the TV drama and Hwang Soon-Won’s novels for the film as an example. Park Min-Gyu’s novels contain plenty of areas of indeterminacy so that the readers have no option but to read actively to understanding the text. The Shower by Hwang Soon-Won is the most adapted of all Korean novels so that the students can storytelling in various aspects. All the process of literature education learning includes reading, writing, discussion and feedback. These work show that how students can experience literature and take an active part in a creation. However, this paper doesn``t argue production a creative art beyond storytelling stage. Therefore, the study of inclusive education plan with various major is necessary. Also the research on the student satisfaction of literature lesson is needs to be done. The learner-centered education enables the literature lessons to succeed and manage effectively.

모바일 디바이스를 위한 SVG Trns-Gateway 시스템의 설계구현

이수현(Su-Hyun Lee),유남현(Nam-Hyun Yoo),이형옥(Hyung-Ok Lee) 한국멀티미디어학회 2004 한국멀티미디어학회 학술발표논문집 Vol.2004 No.1